Article(id=1210516641398526898, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1210516638089212895, articleNumber=null, orderNo=null, doi=10.16438/j.0513-4870.2022-0415, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1649433600000, receivedDateStr=2022-04-09, revisedDate=1651680000000, revisedDateStr=2022-05-05, acceptedDate=null, acceptedDateStr=null, onlineDate=1766539257621, onlineDateStr=2025-12-24, pubDate=1662912000000, pubDateStr=2022-09-12, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1766539257621, onlineIssueDateStr=2025-12-24, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1766539257621, creator=13701087609, updateTime=1766539257621, updator=13701087609, issue=Issue{id=1210516638089212895, tenantId=1146029695717560320, journalId=1189982191388893191, year='2022', volume='57', issue='9', pageStart='1', pageEnd='2888', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1766539256832, creator=13701087609, updateTime=1766539546411, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1210517852726096743, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1210516638089212895, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1210517852726096744, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1210516638089212895, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=2590, endPage=2600, ext={EN=ArticleExt(id=1210516642988168143, articleId=1210516641398526898, tenantId=1146029695717560320, journalId=1189982191388893191, language=EN, title=Application and prospect of circulating tumor cell in colorectal cancer immunotherapy, columnId=1210516639267812321, journalTitle=Acta Pharmaceutica Sinica, columnName=Special Reports: Therapeutic interventions and strategies for cancer immunotherapy, runingTitle=null, highlight=null, articleAbstract=
After the concept of liquid biopsy was proposed more than a decade ago, it has quickly expanded to the field of circulating tumor cell (CTC). As a novel biomarker, CTC has the advantages of non-invasiveness, sensitivity, and easy operation, which are incomparable with traditional imaging assay and in vivo detection, therefore it has been an increasingly important technology for tumor diagnosis and treatment. In addition to providing genomic analysis, CTC can provide information at the transcriptomic, proteomic, and epigenomic levels. Compared with other liquid biopsy methods, CTC detection can provide more complete tumor genetic information and show detailed traces of tumor development. Immunotherapy has the best prognosis for colorectal cancer with microsatellite instability (MSI). The detection of CTC has great clinical application value for the prognosis evaluation of colorectal cancer, personalized medicine and the formulation of immunotherapy plans. This review article systematically summarized the various methods of capturing CTC, the prognostic factors that affect the efficacy of colorectal cancer immunotherapy, and how to use CTC characterization to formulate treatment. Schemes, dynamic detection of disease progression, prognosis, evaluation of immunotherapy efficacy and precise treatment are also discussed and prospected.
, correspAuthors=Wen-jun XIN, Guo-hui WAN, authorNote=null, correspAuthorsNote=null, copyrightStatement=Copyright ©2022 Acta Pharmaceutica Sinica. All rights reserved., copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=null, fund=null, authors=null, authorsList=Arabella H WAN, Jia-rui LI, Wen-jun XIN, Guo-hui WAN), CN=ArticleExt(id=1210516644703637579, articleId=1210516641398526898, tenantId=1146029695717560320, journalId=1189982191388893191, language=CN, title=循环肿瘤细胞在结直肠癌免疫治疗中的应用前景, columnId=1210516639397835747, journalTitle=药学学报, columnName=专题报道:靶向肿瘤免疫治疗策略与药物干预, runingTitle=null, highlight=null, articleAbstract=
液体活检的概念在十多年前被提出后, 很快就扩展到了循环肿瘤细胞(CTC) 领域。CTC作为一种新型的生物标志物, 具有无创、敏感、操作简易等传统影像学检测和活体检测无法比拟的优点, 正成为日渐重要的肿瘤诊疗技术。CTC除了可以提供基因组层面的分析, 还可以由此得到转录组、蛋白组及表观遗传组等层面的信息。相比其他液体活检技术, CTC检测能够提供更为完整的肿瘤遗传信息, 以及展示出更为详细的肿瘤发展轨迹。针对微卫星不稳定型(MSI) 结直肠癌, 免疫疗法的预后最佳。CTC的检测对结直肠癌预后评估、个性化用药与制定免疫治疗方案有着重要的临床应用价值。本综述系统总结了CTC分离方法和在肿瘤中的应用, 影响结直肠癌免疫疗效的预后因素, 以及对如何利用CTC检测表征来制定治疗方案, 动态检测疾病进展、判断预后、评价免疫疗效和精准治疗等展开了讨论和展望。
, correspAuthors=信文君, 万国辉, authorNote=null, correspAuthorsNote=
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6: 589-590., articleTitle=Evaluation of POLE/POLD1 variants as potential biomarkers for immune checkpoint inhibitor treatment outcomes, refAbstract=null)], funds=[Fund(id=1210516651708125721, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, awardId=82122069, language=CN, fundingSource=国家自然科学基金资助项目(82122069), fundOrder=null, country=null), Fund(id=1210516651829760546, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, awardId=82073869, language=CN, fundingSource=国家自然科学基金资助项目(82073869), fundOrder=null, country=null), Fund(id=1210516651930423852, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, awardId=2021B1515020004, language=CN, fundingSource=广东省基础与应用基础研究基金(2021B1515020004), fundOrder=null, country=null), Fund(id=1210516652018504247, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, awardId=2019A050510019, language=CN, fundingSource=广东省基础与应用基础研究基金(2019A050510019), fundOrder=null, country=null), Fund(id=1210516652123361858, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, awardId=202002020051, language=CN, fundingSource=广州市科技计划项目-基础与应用基础研究项目(202002020051), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1210516645085319265, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, xref=null, ext=[AuthorCompanyExt(id=1210516645097902179, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, companyId=1210516645085319265, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1. Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou 510080, China), AuthorCompanyExt(id=1210516645148233831, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, companyId=1210516645085319265, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1.中山大学中山医学院, 广东 广州 510080)]), AuthorCompany(id=1210516645303423088, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, xref=null, ext=[AuthorCompanyExt(id=1210516645328588910, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, companyId=1210516645303423088, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2. The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China), AuthorCompanyExt(id=1210516645336977519, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, companyId=1210516645303423088, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2.中山大学附属第一医院, 广东 广州 510080)]), AuthorCompany(id=1210516645429252216, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, xref=null, ext=[AuthorCompanyExt(id=1210516645441835131, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, companyId=1210516645429252216, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=3. School of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou 510006, China), AuthorCompanyExt(id=1210516645450223738, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, companyId=1210516645429252216, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=3.中山大学药学院, 广东 广州 510006)])], figs=[ArticleFig(id=1210516649241874815, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, language=EN, label=null, caption=null, figureFileSmall=Po2yIqihHX1KstaeGQnTDg==, figureFileBig=4MJRgOZDhGu4oDSx2xteBQ==, tableContent=null), ArticleFig(id=1210516649325760908, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, language=CN, label=Figure 1, caption=
Detection of circulating tumor cells (CTCs) in personalized medicine as liquid biopsy. CTC could be enriched by positive or negative immunoaffinity, and by biophysical properties via microfluidic sorting or density discrepancy. After purification, CTC could be verified by immunoaffinity with tumor-associated markers, E-specific mRNA or EPISPOT detection. Finally, CTC could be used for proteomic, genomic, epigenomic and transcriptomic analysis , figureFileSmall=Po2yIqihHX1KstaeGQnTDg==, figureFileBig=4MJRgOZDhGu4oDSx2xteBQ==, tableContent=null), ArticleFig(id=1210516649577419171, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, language=EN, label=null, caption=null, figureFileSmall=sDqv86eOK6+7gq7kPu6Brw==, figureFileBig=6RKqmbJfbwMqUl31R1kuEg==, tableContent=null), ArticleFig(id=1210516649707442605, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, language=CN, label=Figure 2, caption=
CTC subtypes. CTCs can be characterized as epithelial subtype, mesenchymal subtype, mixed subtype (epithelial and mesenchymal) and stem-like subtype , figureFileSmall=sDqv86eOK6+7gq7kPu6Brw==, figureFileBig=6RKqmbJfbwMqUl31R1kuEg==, tableContent=null), ArticleFig(id=1210516649803911608, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, language=EN, label=null, caption=null, figureFileSmall=Po5PX7pHYuEsoDnylEjOCA==, figureFileBig=6orqhkPPe2/FM2bL8ApMJA==, tableContent=null), ArticleFig(id=1210516649933935047, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, language=CN, label=Figure 3, caption=
Application of CTC analysis in clinic. CTC is enriched and purified for quantity analysis and quality analysis, which could serve as a biomarker for survival prediction and therapy efficacy prediction. CTC analysis is being used for personalized medicine , figureFileSmall=Po5PX7pHYuEsoDnylEjOCA==, figureFileBig=6orqhkPPe2/FM2bL8ApMJA==, tableContent=null), ArticleFig(id=1210516650022015436, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, language=EN, label=null, caption=null, figureFileSmall=3v6PmBy6kLrXuc3I2kupsQ==, figureFileBig=3wEHkdsgqcJUa+zQmXI1MA==, tableContent=null), ArticleFig(id=1210516650135261655, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, language=CN, label=Figure 4, caption=
Surface biomarkers of CTC in colorectal cancer (CRC). PD-L1: Programmed death ligand 1; CD47: Cluster of differentiation 47, known as integrin associated protein (IAP); TIM3: T cell immunoglobulin and mucin domain-containing protein 3; CD133: Cluster of differentiation 133, known as prominin-1; EpCAM: Epithelial cell adhesion molecule; MUC2: Mucin 2; GPA33: Cell surface glycoprotein A33; EGFR: Epidermal growth factor receptor; WNT receptor: Frizzled G protein-coupled receptor , figureFileSmall=3v6PmBy6kLrXuc3I2kupsQ==, figureFileBig=3wEHkdsgqcJUa+zQmXI1MA==, tableContent=null), ArticleFig(id=1210516650277868002, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, language=EN, label=null, caption=null, figureFileSmall=oVAeNFxBcSmG2xqBMuVAGw==, figureFileBig=dI9KDSFebvpa2s1wA0w03w==, tableContent=null), ArticleFig(id=1210516650412085739, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, language=CN, label=Figure 5, caption=
CTC analysis in prognostic prediction. CTC detection could be monitored at various phases during treatments (surgery or chemotherapy), including onset, progression and cure/relapse , figureFileSmall=oVAeNFxBcSmG2xqBMuVAGw==, figureFileBig=dI9KDSFebvpa2s1wA0w03w==, tableContent=null), ArticleFig(id=1210516651188031989, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, language=EN, label=null, caption=null, figureFileSmall=A6QfAPK/W8jtOVuKdgLRGA==, figureFileBig=+uNxXX0lffSeYYwz2JPJ2w==, tableContent=null), ArticleFig(id=1210516651284500990, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, language=CN, label=Figure 6, caption=
Application of CTC analysis in chemotherapy and immunotherapy in CRC. Detection of CTC could provide transcriptomic, proteomic and genomic information to assist in personalized therapy, including target-therapy, chemotherapy and immunotherapy , figureFileSmall=A6QfAPK/W8jtOVuKdgLRGA==, figureFileBig=+uNxXX0lffSeYYwz2JPJ2w==, tableContent=null), ArticleFig(id=1210516651372581380, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, language=EN, label=null, caption=null, figureFileSmall=null, figureFileBig=null, tableContent=
| Platform | Separation | Validation method | Reference |
| CellSearch | Positive immunoaffinity by magnetic beads | ICC detection (CTC = EpCAM+/CK+/CD45-/DAPI+) | [23] |
| Parsortix | Microfluidic chips (relative larger sizes and smaller deformabbility) | ICC detection, cell-based detection, FISH detection, HE/WG staining, qPCR detection, RNA seq analysis | [24] |
| Cytophone | In vivo photoacoustic flow cytometry | Flow cytometry analysis | [25] |
| CellCollector | Positive enrichment of FSMW hydrogel-coupled immunoaffinity | ICC detection, qPCR detection, RNA seq analysis | [26] |
| EPISPORT | Microfluidic chips | ICC detection | [27] |
| EPIDROP | Microfluidic chips | Digital pathology detection, single-cell sequencing | [28] |
| LiquidBiopsy | Positive enrichment of biotin-ferromagnetic immunoaffinity | ICC detection, qPCR detection, RNA seq analysis | [29] |
| AccuCyte | Cell density gradient centrifugation | ICC detection, qPCR detection, RNA seq analysis | [22] |
| CTC-iChip | Positive enrichment by immunoaffinity chips | ICC detection, qPCR detection, RNA seq analysis | [21] |
), ArticleFig(id=1210516651540353549, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1210516641398526898, language=CN, label=Table 1, caption=
Common platforms for CTC detection and validation. ICC: Immunocytochemistry; EpCAM: Epithelial cell adhesion molecule; CK: Cytokeratins; CD45: Lymphocyte common antigen; DAPI: 4', 6-Diamidino-2-phenylindolel; FISH: Fluorescence in situ hybridization; HE: Hematoxylin and eosin; WG: Wright-Giemsa; qPCR: Real-time polymerase chain reaction
, figureFileSmall=null, figureFileBig=null, tableContent=
| Platform | Separation | Validation method | Reference |
| CellSearch | Positive immunoaffinity by magnetic beads | ICC detection (CTC = EpCAM+/CK+/CD45-/DAPI+) | [23] |
| Parsortix | Microfluidic chips (relative larger sizes and smaller deformabbility) | ICC detection, cell-based detection, FISH detection, HE/WG staining, qPCR detection, RNA seq analysis | [24] |
| Cytophone | In vivo photoacoustic flow cytometry | Flow cytometry analysis | [25] |
| CellCollector | Positive enrichment of FSMW hydrogel-coupled immunoaffinity | ICC detection, qPCR detection, RNA seq analysis | [26] |
| EPISPORT | Microfluidic chips | ICC detection | [27] |
| EPIDROP | Microfluidic chips | Digital pathology detection, single-cell sequencing | [28] |
| LiquidBiopsy | Positive enrichment of biotin-ferromagnetic immunoaffinity | ICC detection, qPCR detection, RNA seq analysis | [29] |
| AccuCyte | Cell density gradient centrifugation | ICC detection, qPCR detection, RNA seq analysis | [22] |
| CTC-iChip | Positive enrichment by immunoaffinity chips | ICC detection, qPCR detection, RNA seq analysis | [21] |
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